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The composable infrastructure market is rapidly evolving, driven by the increasing demand for flexible, scalable, and efficient IT infrastructure to support AI, ML, and HPC workloads. It aims to overcome limitations of traditional static data centers by enabling dynamic resource pooling and allocation, reducing costs, and maximizing hardware utilization. The industry is seeing adoption in enterprises, academic institutions, and service providers seeking agility and optimized performance for compute-intensive tasks.
Total Assets Under Management (AUM)
Composable Infrastructure Market Size in United States
~300-500 million USD (estimated)
(25-30% CAGR)
- Growth driven by AI/ML adoption.
- Need for better resource utilization.
- Shift to software-defined data centers.
1.5 billion USD
Compute Express Link (CXL) 3.0 extends memory pooling and sharing capabilities, enabling more efficient resource utilization across heterogeneous computing environments and further disaggregation of resources.
Integration of non-volatile memory (NVM) technologies like Intel Optane or Storage Class Memory (SCM) will provide even faster data access and persistence, blurring the lines between memory and storage for HPC/AI workloads.
The adoption of optical interconnects within data centers will dramatically increase bandwidth and reduce latency, enabling even larger-scale composable systems and efficient communication between disaggregated components.
While not directly targeting infrastructure, AICOA aims to curb anti-competitive practices by large tech platforms, which could influence how cloud providers and large enterprises procure and utilize infrastructure for AI workloads.
This policy could potentially create a more open market for infrastructure solutions by preventing dominant tech companies from favoring their own services, indirectly benefiting composable infrastructure providers.
This act established a national strategy for AI research and development across various federal agencies and academic institutions, aiming to accelerate AI innovation and application.
The ongoing implementation of this act directly drives demand for advanced AI/HPC infrastructure, creating significant opportunities for Liqid to provide solutions for government and academic research initiatives.
While an older act, EISA continues to influence energy efficiency standards, including those for data centers, pushing for more efficient IT equipment and operations.
This policy indirectly benefits Liqid by emphasizing energy efficiency, a key value proposition of their composable solutions, as businesses seek to reduce power consumption and cooling costs.
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